class_docstr: Benchmark learn metrics.
code: def setup(self, chunk_size: int):
      X, y = make_classification(100_000, random_state=0)
      self.raw_X, self.raw_y = X, y
      clf = LogisticRegression(solver="liblinear", random_state=0).fit(
          X, y
      )
      self.raw_pred_y = clf.predict_proba(X)[:, 1]
      self._session = mars.new_session()
      self.y = mt.tensor(self.raw_y, chunk_size=chunk_size)
      self.pred_y = mt.tensor(self.raw_pred_y, chunk_size=chunk_size)
  
file_path: mars/benchmarks/asv_bench/benchmarks/learn/metrics.py
imports: import mars
  import mars.tensor
  from sklearn.datasets import make_classification
  from sklearn.linear_model import LogisticRegression
  from mars.learn import metrics
label_desc: Use image node_id 1 for calling the MetricsSuite obj's underlying member method code with example usage: obj.setup(chunk_size) without return types